ATP · Left-handed · 30 charted matches · 1988–2011
Thomas Muster
Archetype: Avoids the wide serve · Ad-court slider
Against an average opponent
Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.
Value per 100 shots
Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 17,303 shots.
Shot expected value
The share of points Thomas Muster goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 1,258 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 26% | 53.0%±4.4 | 43.7% |
| BH crosscourt | 21% | 51.6%±4.9 | 47.6% |
| FH inside-in | 15% | 53.6%±5.7 | 54.7% |
| BH down the line | 14% | 44.5%±5.9 | 46.4% |
| FH inside-out | 8% | 49.9%±7.5 | 51.8% |
| FH through the middle | 7% | 50.9%±7.8 | 45.2% |
| BH slice through the middle | 5% | 33.8%±8.7 | 35.1% |
| BH slice down the line | 2% | 42.8%±11.5 | 37.1% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 957 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 29% | 41.9%±4.7 | 43.8% |
| BH crosscourt | 20% | 44.9%±5.6 | 48.0% |
| BH down the line | 15% | 45.5%±6.5 | 46.5% |
| FH inside-in | 10% | 57.0%±7.5 | 54.3% |
| BH slice through the middle | 7% | 42.4%±8.8 | 35.1% |
| FH through the middle | 6% | 54.1%±9.3 | 46.1% |
| FH inside-out | 5% | 57.3%±9.8 | 52.6% |
| BH slice down the line | 4% | 36.3%±10.1 | 35.8% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 929 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 63% | 48.9%±3.3 | 46.6% |
| FH down the line | 16% | 42.7%±6.2 | 44.7% |
| FH through the middle | 14% | 47.2%±6.7 | 41.5% |
| FH slice crosscourt | 3% | 34.5%±11.8 | 30.9% |
| FH down the line + approach | 2% | 66.3%±12.5 | 69.3% |
| FH slice through the middle | 2% | 22.6%±11.6 | 24.5% |
Long rally, 9+: drive to your forehand side
position worth 44% to the average player · 750 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 65% | 51.1%±3.7 | 46.9% |
| FH down the line | 19% | 42.4%±6.3 | 44.8% |
| FH through the middle | 10% | 42.6%±8.3 | 41.4% |
| FH slice crosscourt | 3% | 29.4%±11.2 | 31.2% |
| FH slice through the middle | 1% | 22.8%±12.4 | 25.4% |
Serve under pressure
Pressure predictability index +1 How much less varied Thomas Muster's first-serve direction gets on break points. Positive means easier to read. Based on 293 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 22% | 34% ▲ | 67% / 73% |
| Body | 16% | 16% | 59% / 63% |
| T | 62% | 50% ▼ | 65% / 75% |
1,428 normal · 74 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 66% | 70% | 66% / 73% |
| Body | 12% | 11% | 64% / 63% |
| T | 22% | 19% | 73% / 72% |
1,138 normal · 219 break-point 1st serves
Is the serve mix in equilibrium?
Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.
Deuce court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 23% | 61.4%±4.2 n=339 | 36% ▲ |
| Body | 16% | 55.3%±5.0 n=235 | 3% ▼ |
| T | 62% | 59.9%±2.6 n=928 | 61% |
Consistent with an optimal mix (p = 0.21).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 67% | 61.8%±2.6 n=909 | 63% ▼ |
| Body | 12% | 67.1%±5.6 n=159 | 3% ▼ |
| T | 21% | 61.6%±4.5 n=289 | 34% ▲ |
Consistent with an optimal mix (p = 0.28).
Optimal mix: +0.2 per 100 first serves.
Exploitability 0.47 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.
Repeating the previous direction to the same court: +1.1±2.8 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (1,405 repeats, 1,394 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 107 | 32% | −4.8±6.6 | |
| 1st | Ad court | T | 350 | 26% | −1.9±3.7 | |
| 1st | Ad court | Wide | 343 | 30% | +2.8±3.9 | |
| 1st | Deuce court | Body | 63 | 33% | −3.4±8.0 | |
| 1st | Deuce court | T | 256 | 23% | −2.2±4.1 | |
| 1st | Deuce court | Wide | 554 | 31% | +3.7±3.1 | |
| 2nd | Ad court | Body | 135 | 64% | +14.1±6.2 | |
| 2nd | Ad court | T | 224 | 47% | −2.1±5.2 | |
| 2nd | Ad court | Wide | 237 | 51% | +2.8±5.0 | |
| 2nd | Deuce court | Body | 88 | 56% | +6.7±7.5 | |
| 2nd | Deuce court | T | 83 | 47% | −2.9±7.7 | |
| 2nd | Deuce court | Wide | 460 | 50% | +2.2±3.7 |
Signature patterns
Recurring sequences that win more than Thomas Muster's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Body serve (ad court) → FH crosscourt used 2.7% · won 60% · −3.5±8.0 vs own baseline
- Wide serve (ad court) → BH crosscourt used 3.0% · won 60% · −3.3±7.7 vs own baseline
- Wide serve (ad court) → FH down the line used 4.8% · won 59% · −4.7±6.4 vs own baseline
- T serve (deuce court) → BH crosscourt used 2.3% · won 56% · −7.3±8.6 vs own baseline
- T serve (deuce court) → FH down the line used 2.9% · won 57% · −6.9±7.8 vs own baseline
Return
- vs wide serve (ad court) → FH crosscourt, mid used 4.7% · won 49% · +9.0±7.1 vs own baseline
- vs wide serve (ad court) → FH through the middle, mid used 3.9% · won 48% · +8.4±7.7 vs own baseline
- vs wide serve (deuce court) → FH through the middle, mid used 3.0% · won 49% · +9.1±8.4 vs own baseline
- vs wide serve (deuce court) → BH through the middle, short used 2.9% · won 49% · +9.1±8.6 vs own baseline
- vs wide serve (ad court) → FH crosscourt, short used 3.2% · won 45% · +5.6±8.2 vs own baseline
Rally, consecutive own shots
- BH crosscourt → FH crosscourt used 2.4% · won 57% · +7.0±7.0 vs own baseline
- FH inside-in → FH crosscourt used 3.3% · won 55% · +5.9±6.2 vs own baseline
- FH down the line → FH crosscourt used 1.3% · won 59% · +9.1±8.8 vs own baseline
- FH through the middle → BH crosscourt used 1.4% · won 56% · +6.3±8.5 vs own baseline
- BH crosscourt → FH inside-in used 1.3% · won 56% · +6.2±8.9 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Thomas Muster wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- BH crosscourt → FH crosscourt → FH inside-in used 0.7% · won 61% · +11.0±8.5 vs own baseline · +12.1 vs tour on the same sequence Disrupted by Stefan Edberg (5/8), Sergi Bruguera (11/17)
- BH crosscourt → FH through the middle → FH crosscourt used 0.4% · won 64% · +14.1±9.9 vs own baseline · +20.5 vs tour on the same sequence Disrupted by Albert Costa (5/6)
- FH crosscourt → BH slice through the middle → FH crosscourt used 0.4% · won 60% · +10.0±10.1 vs own baseline · +8.9 vs tour on the same sequence Disrupted by Ivan Lendl (4/7), Pete Sampras (10/12)
- Wide serve → BH through the middle return, mid → FH down the line used 0.2% · won 64% · +13.2±11.8 vs own baseline · +22.7 vs tour on the same sequence Disrupted by Pete Sampras (4/6)
- T serve → BH slice through the middle return, mid → FH crosscourt used 0.4% · won 59% · +9.0±10.0 vs own baseline · +3.0 vs tour on the same sequence Disrupted by Boris Becker (2/6), Stefan Edberg (3/7)
- BH down the line → BH down the line → BH through the middle used 0.2% · won 62% · +11.8±11.8 vs own baseline · +30.0 vs tour on the same sequence
Strengths and vulnerabilities
Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.
Hurts opponents most with
| BH to their forehand · return +1 | +3.6 | 179 |
| FH to their backhand · return +1 | +3.0 | 358 |
| BH slice to the middle · return | +2.9 | 153 |
| FH to the middle · serve +1 | +2.0 | 218 |
| Body 1st serve · deuce court | +1.9 | 235 |
Most exposed to
| BH slice to the middle · return | −4.5 | 269 |
| BH to their forehand · return | −3.2 | 321 |
| BH slice to their forehand · rally | −2.5 | 259 |
| BH slice to the middle · rally | −2.4 | 220 |
| FH to the middle · serve +1 | −2.1 | 147 |
Active players who are best at the shot in the top weakness: Rafael Nadal, Andy Murray, Richard Gasquet, Nick Kyrgios, Giovanni Mpetshi Perricard
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| T serves · deuce | 62% | |
| Wide serves · ad | 67% | |
| Forehand share | 63% | |
| Avg rally length | 5.1 | |
| 1st serve in | 65% | |
| Run-around forehands | 27% | |
| BH down the line | 23% | |
| Chipped returns | 13% | |
| Points at net | 10% | |
| Serve & volley | 2% | |
| Through the middle | 23% | |
| Backhand slice | 15% | |
| Drop shots / shot | 0.6% | |
| Point-ending shots | 17.0% | |
| Unforced errors / shot | 6.8% | |
| Deep returns | 15% | |
| FH down the line | 20% | |
| T serves · ad | 21% | |
| Wide serves · deuce | 23% |
Plays most like
- Albert Ramos 2014–2025 plan v
- Rafael Nadal 2003–2024 plan v
- Cameron Norrie 2015–2026 plan v
- Yoshihito Nishioka 2015–2025 plan v
- Federico Delbonis 2013–2023 plan v
- Nicolas Massu 2000–2009 plan v
- Pablo Cuevas 2015–2021 plan v
- Gaston Gaudio 2002–2005 plan v
Closest from another era
- Albert Ramos 2014–2025
- Cameron Norrie 2015–2026
- Yoshihito Nishioka 2015–2025
Charted matches
- Thomas Muster v Dominic Thiem L Vienna R32 · Hard · 25 Oct 2011
- Pete Sampras v Thomas Muster L Cincinnati Masters F · Hard · 10 Aug 1997
- Thomas Muster v Gustavo Kuerten Roland Garros R32 · Clay · 29 May 1997
- Sergi Bruguera v Thomas Muster W Miami Masters F · Hard · 23 Mar 1997
- Pete Sampras v Thomas Muster L Australian Open SF · Hard · 25 Jan 1997
- Thomas Muster v Stefan Edberg L Vienna R16 · Hard · 9 Oct 1996
- Thomas Muster v Andre Agassi L Cincinnati Masters SF · Hard · 10 Aug 1996
- Yevgeny Kafelnikov v Thomas Muster W Stuttgart F · Clay · 21 Jul 1996
- Richard Krajicek v Thomas Muster W Rome Masters F · Clay · 19 May 1996
- Albert Costa v Thomas Muster W Monte Carlo Masters F · Clay · 28 Apr 1996
- Thomas Muster v Marcelo Rios W Barcelona F · Clay · 21 Apr 1996
- Pete Sampras v Thomas Muster W Essen Masters SF · Hard · 28 Oct 1995